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@mdismail0110:

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Thursday 05 November 2026 06:57:44 GMT
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Ramzan Iqbal 🇰🇼🇬🇧🇬🇧🌹 :
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The moment you realize that love alone was never enough. Sometimes, even the deepest feelings cannot make two people stay. And sometimes, letting go is the only choice left. #fryp #foryoupage #poem #poetry #viralvideo @TikTok
The moment you realize that love alone was never enough. Sometimes, even the deepest feelings cannot make two people stay. And sometimes, letting go is the only choice left. #fryp #foryoupage #poem #poetry #viralvideo @TikTok
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#football #funnyvideos😂 #fyyyyyyyyyyyyyyyy #fyp
Estimating Prop Firm Challenge Pass Probability and Expected Value via Reshuffling Monte Carlo This 90-second video explains how to estimate the probability of passing a proprietary trading firm challenge and the net expected value of a funded-account attempt, without placing a live trade or purchasing a challenge. The analysis begins with an out-of-sample backtest or historical trade log. Trades are sampled with replacement to generate a large number of possible equity paths. Tens or hundreds of thousands of reshuffling Monte Carlo simulations are then evaluated under the firm’s specific rules, including trailing drawdown limits and consistency requirements. Each simulated path is assigned a balance that incorporates the sunk challenge fee. When a path passes the challenge, the funded stage is simulated, including payout thresholds and any resulting payouts. These amounts are added to the path’s total balance. The estimated pass probability is the proportion of simulated challenge paths that pass. Net expected value is the average final balance across all simulations. The simulations and rule sets are implemented in QuantPad. #quantpad #propfirm #quant #montecarlo
Estimating Prop Firm Challenge Pass Probability and Expected Value via Reshuffling Monte Carlo This 90-second video explains how to estimate the probability of passing a proprietary trading firm challenge and the net expected value of a funded-account attempt, without placing a live trade or purchasing a challenge. The analysis begins with an out-of-sample backtest or historical trade log. Trades are sampled with replacement to generate a large number of possible equity paths. Tens or hundreds of thousands of reshuffling Monte Carlo simulations are then evaluated under the firm’s specific rules, including trailing drawdown limits and consistency requirements. Each simulated path is assigned a balance that incorporates the sunk challenge fee. When a path passes the challenge, the funded stage is simulated, including payout thresholds and any resulting payouts. These amounts are added to the path’s total balance. The estimated pass probability is the proportion of simulated challenge paths that pass. Net expected value is the average final balance across all simulations. The simulations and rule sets are implemented in QuantPad. #quantpad #propfirm #quant #montecarlo
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สวยงามมาก #thailand🇹🇭 #iconsiam #ล่องเรือแม่น้ําเจ้าพระยา #fap
สวยงามมาก #thailand🇹🇭 #iconsiam #ล่องเรือแม่น้ําเจ้าพระยา #fap
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